4 days ago
Berlin, Germany +2 moreSenior
Responsibilities
- Design and build AI agents that automate complex finance workflows.
- Own AI product features from concept and prototype through production deployment and operation.
- Integrate agents with backend services, APIs, data models, permissions, and product workflows.
- Design systematic evaluations, representative datasets, regression tests, human-review processes, and feedback loops.
- Measure and improve agent accuracy, latency, cost, reliability, and user experience.
- Design production agent architecture using prompts, tools, memory, workflows, orchestration, RAG, MCP, and knowledge graphs.
- Build guardrails, approval steps, and human-in-the-loop controls for sensitive financial workflows.
- Integrate machine-learning models into production systems and build the supporting services, data flows, APIs, and operational tooling.
Requirements
- Seasoned software engineer with experience building and operating production applications.
- Highly proficient in Python and/or Java and comfortable across backend services, APIs, data, and application architecture.
- Experience building and shipping at least one agent or LLM-powered product capability end to end.
- Experience integrating agents into broader product and backend architectures rather than only building standalone prototypes.
- Practical experience evaluating agents or other non-deterministic AI systems.
- Understanding of providing agents with appropriate data and context while respecting security, permissions, and privacy.
- Hands-on experience with prompt engineering, context engineering, and agent orchestration.
- Ability to balance rapid experimentation with reliable, maintainable production engineering.
- Clear communication and effective collaboration with engineering, product, and data science teams.
- Familiarity with agent orchestration frameworks such as Google ADK, LangGraph, LangChain, or LlamaIndex; language models such as Gemini, OpenAI, Anthropic, Llama, or Mistral; and backend, data, and cloud technologies listed in the posting is relevant but not required in every technology.
Benefits
- Top-of-market compensation package including equity.
- Vibrant offices with weekly breakfasts and Friday demos; in-person time supports collaboration and connection.
- 20 days of work from abroad.
- 600 EUR/GBP Learning & Development Budget.
- Additional local benefits may apply.
- Benefits generally apply to full-time positions; interns and working students receive a tailored package.
Tech Stack
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